Carlos Forero

1# data_engineer_stack.py
2from dataclasses import dataclass
3 
4@dataclass
5class DataEngineerStack:
6    cloud: list = ["GCP", "BigQuery", "Dataflow"]
7    processing: list = ["Apache Beam", "Airflow", "dbt"]
8    languages: list = ["Python", "SQL", "Bash"]
9    tools: list = ["Docker", "Git", "Linux"]
10    
11    def pipeline_expertise(self):
12        return {
13            "etl": "Batch & Streaming",
14            "scale": "TB-scale data",
15            "optimization": "Cost & Performance"
16        }